The general purpose of this repository is to research & implement AI algorithms.
Some sub-aims of this repository is;
- creating a custom pipeline for machine learning
- implement basic machine learning algorithms
- implementing deep learning algorithms both with Tensorflow and PyTorch
...
The class plan of the machine learning project
- Preprocess
- Score calculation
- Visualization
- Training
- ...
sources of inspiration:
- Joel Grus - Let's Build a Deep Learning Library (YouTube) https://www.youtube.com/watch?v=o64FV-ez6Gw
- Alexey Grigorev - Machine Learning Bookcamp https://www.manning.com/books/machine-learning-bookcamp
- Aurélien Géron - Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/